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Journal : ITEj (Information Technology Engineering Journals)

Risk Analysis in the Palm Oil Harvesting Process Using the Mix Method (Case Study at PT XYZ South Kalimantan) Kencana, Rahyang Niskala Wastu; Iriani, Iriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.234

Abstract

The harvesting process in oil palm plantations is one of the critical stages that greatly affects the productivity and quality of production results. The risks that arise in this process, both from operational risks, environmental risks, and human resource risks can have a significant impact on operational efficiency. This study aims to determine the level of risk in the harvesting process of oil palm products at PT XYZ South Kalimantan and to find out the proposed improvements that are in accordance with the problems faced using the mixed method, which combines qualitative and quantitative techniques. The results of the study showed that there were three levels of risk with the highest risk values. Namely the risk of work accidents with a risk value of 20 and a high risk level, the risk of damage to harvesting equipment with a risk value of 10 and a moderate risk level, and the risk of replacing harvesting equipment with a risk value of 10 and a moderate risk level. These three risks are risks with the highest priority level of handling. For this reason, it is recommended to focus on human control and SOPs, control of tools and procedures, and change management. With proper risk management, the harvesting process can run more efficiently, safely, and sustainably.
Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials Kusuma, Yahya; Iriani, Iriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.284

Abstract

This study analyzes the integration of the multi-item Economic Order Quantity (EOQ) and Economic Production Quantity (EPQ) methods to minimize the inventory costs of outsole raw materials at UD. Santoso Mojokerto. The main problem lies in the high storage costs caused by the mismatch between purchasing quantities and the production needs of women’s flat sandals in sizes 37–39. Using demand, production, and inventory cost data for the period of August 2024–July 2025, EOQ is applied to determine the optimal order quantity, while EPQ is used to establish the optimal production quantity. The results show that integrating EOQ and EPQ can reduce total inventory costs compared to the company’s current method, while also maintaining raw material availability and ensuring smooth production processes.